Posts in Deep Learning

Cross-Attention Fusion for Early Crop Stress Prediction and the Challenge of Limited Temporal Patterns in Agricultural Data (2025)

Author: Mohammad Motaghianfar Abstract Farming faces growing challenges from climate change and pests, making early crop stress detection vital for food security. Current tools often[…]

A Hybrid Deep Ensemble and Evidential Regression Framework for Dual Uncertainty Quantification in Agricultural Yield Prediction (2024)

Author: Mohammad Motaghianfar Abstract Predicting crop yields accurately is vital for ensuring food security worldwide, but most machine learning models only give a single number[…]

Multi-View Evidential Deep Learning with Uncertainty Quantification for Robust Breast Cancer Diagnosis (2021)

Author: Mohammad Motaghianfar Abstract Breast cancer diagnosis with AI faces hurdles like uneven datasets, overly confident wrong predictions, and no way to measure uncertainty, which[…]